Intelligent real-time blood glucose monitoring system and method based on cloud big data is disclosed. The system includes an implantable dynamic glucose sensor, a smart phone, a blood glucose monitoring software application installed on the smart phone, a finger blood glucose meter, and a big data cloud server. By processing historical blood glucose measurement data of a user stored in the cloud, the monitoring system effectively corrects and influences signal differences produced by individual users so as to ensure the validity and accuracy of measurement signals during sensor operation.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The intelligent real-time dynamic blood glucose monitoring system based on the cloud big data according to claim 1, wherein the personal information and the historical data stored in the cloud big data server of the user comprises user's name, gender, age, contact number, serial number and related information of the implantable dynamic glucose sensor, raw data Is of the implantable dynamic glucose sensor, signal-to-noise ratio SNR, blood glucose output value SG and measurement time and date Ts corresponding to the SG, a conversion coefficient CF and a related parameter between original data of the implantable dynamic glucose sensor and a blood glucose value, the blood glucose value BG measured by the finger blood glucose meter and measurement time and date Tb corresponding to the BG, electrochemical impedance data Z measured by the implantable dynamic glucose sensor and measurement time and date Tz corresponding to the Z.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
October 8, 2018
March 26, 2024
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.